Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes

1 code implementation • 25 Sep 2021 • Satpreet Harcharan Singh, Floris van Breugel, Rajesh P. N. Rao, Bingni Wen Brunton

Here, we take a complementary in silico approach, using artificial agents trained with reinforcement learning to develop an integrated understanding of the behaviors and neural computations that support plume tracking.

reinforcement-learning Reinforcement Learning (RL)

Time-varying Autoregression with Low Rank Tensors

2 code implementations • 21 May 2019 • Kameron Decker Harris, Aleksandr Aravkin, Rajesh Rao, Bingni Wen Brunton

In each time window, we assume the data follow a linear model parameterized by a system matrix, and we model this stack of potentially different system matrices as a low rank tensor.